shawnrhoads

Shawn Rhoads's repositories

This repo contains a growing collection of resources for researchers interested in learning Python for psychological science and neuroscience

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This repository contains tutorials to supplement Dr. Max Riesenhuber's NSCI 526: Computational Neuroscience course

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Code, spreadsheet and demo data to adjust fixed, random and mixed effects fMRI meta-analysis to account for variable dropout across studies.

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Bayesian Data Analysis demos for Python

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GUI-based MATLAB software for optimizing the design of fMRI tasks

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Intersubject correlation tutorial

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Notes for Methods for fMRI (PSY 394U), Fall 2019

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Repository of course notes and homework

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Beginner Nilearn tutorial

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Python toolbox for analyzing imaging data

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Automated feature extraction in Python

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Exercises for 2015 Berkeley practical neuroimaging class

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Experimental Paradigms written for PsychoPy

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Materials for my scikit-learn tutorial

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The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"

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